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Shared Human Rights Norms and Military Conflict

Author

Listed:
  • Timothy M. Peterson

    (Department of Political Science, Oklahoma State University, Stillwater, OK, USA, petersontm@missouri.edu)

  • Leah Graham

    (Department of History and Political Science, University of North Alabama, Florence, AL, USA)

Abstract

The normative transfer thesis posits that systematic discrimination, inequality, and repression are indicative of violent norms within states, which extend to the realm of foreign policy. In this article, the authors contend that the pacifying influence of similarity conditions the impact of physical integrity norms at the dyad level. Although mutual norms of domestic nonviolence are more pacifying than mutual disregard thereof, the authors argue that a wide disparity in norms is more aggravating than shared violent norms. This follows because similarity of abusive norms may preclude certain conflicts of interest from originating. The authors test this argument on data from 1981 to 2001, finding that conflict initiation is more likely when states have disparate levels of respect for physical integrity rights. The authors find evidence for a conditional norm transfer, as mutually respectful dyads are least likely to experience conflict; however, they also find evidence of a somewhat weaker peace between abusers.

Suggested Citation

  • Timothy M. Peterson & Leah Graham, 2011. "Shared Human Rights Norms and Military Conflict," Journal of Conflict Resolution, Peace Science Society (International), vol. 55(2), pages 248-273, April.
  • Handle: RePEc:sae:jocore:v:55:y:2011:i:2:p:248-273
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    Citations

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    Cited by:

    1. Colin Vance & Nolan Ritter, 2013. "Is Peace a Missing Value or a Zero?," Ruhr Economic Papers 0466, Rheinisch-Westfälisches Institut für Wirtschaftsforschung, Ruhr-Universität Bochum, Universität Dortmund, Universität Duisburg-Essen.
    2. repec:zbw:rwirep:0466 is not listed on IDEAS
    3. Vance, Colin & Ritter, Nolan, 2013. "Is Peace a Missing Value or a Zero?," Ruhr Economic Papers 466, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    4. Buscema, Massimo & Ferilli, Guido & Sacco, Pier Luigi, 2017. "What kind of ‘world order’? An artificial neural networks approach to intensive data mining," Technological Forecasting and Social Change, Elsevier, vol. 117(C), pages 46-56.

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